r/MachineLearning
500 articles archived · Visit source ↗ · RSS
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r/MachineLearning community 1mo ago
Mapping world model taxonomy [P]
Hey ML community! I’ve been exploring world models and wrote a short article aimed at making the concept easier to understand. I also propose a framework for classifying different approaches and highlight a few trends that emerge from that classification. I’d appreciate feedback…
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Hyperparameter tuning approach question [R]
I am doing some work with cell type classification, where I have 4.3 million cells and 512 features (condensed embeddings from the encoder of a transformer). The broader goal is to implement a contextual bandit for augmenting the training set of the dataset, as it is currently…
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Journals vs Conferences ML Research [R]
Lately in the last two/three years, I have noticed ICML, Neurips becoming more prestigious than the actual journals. What is the actual reason of this culture? Is this due to the AI boom and rising demand and the fact that conferences have a higher and a faster acceptance rate…
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Why does the same H100 cost 5x more depending on where you rent it? [D]
I kept finding wildly different prices for the same GPU across providers and data centers, so I built a OS CLI that searches live GPU capacity and shows the cheapest available routes npx gpu-price-finder Supports RTX 4090, RTX 5090, L40S, A100, H100 and lets you filter by…
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First time ARR users - some questions [D]
We submitted our first paper to ARR, intending to commit to IJCNLP-AACL. Area: Multilingualism and Cross-Lingual NLP Scores: (3,4) (2.5,3) (3,3) - average 2.83 for reviews, 3.33 for confidence 3 for soundness on all, 4 for reproducibility, and 2,3,3 for excitement. The reviewer…
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DINOv2 way worse than SigLIP in k-NN. Is this expected? [R]
Doing a bachelor thesis on fine-grained car classification (telling apart VW Golf generations from listing photos). Simple setup: frozen encoder → embeddings → weighted k-NN. On my small dataset (175 train / 132 test): SigLIP2 SO400M: ~92% CLIP ViT-L: ~59% DINOv2 Giant: ~41% I…
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COLM 2026 Decision Discussion [R]
COLM 2026 Decision about to come soon so lets talk here.   submitted by   /u/North_Menu718 [link]   [comments]
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What if a model could only learn what trusted LoRA adapters can express? [R]
Hello I published a paper. Most defenses against fine-tuning poisoning try to detect malicious data or reduce its impact. I explored a different question: What if the model simply could not learn certain malicious updates? The idea is to constrain fine-tuning to a subspace…
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TorchJD: Training with multiple losses in PyTorch [P]
Hi everyone! I wanted to share some recent progress on TorchJD that might be useful to the machine learning community. When training models with multiple losses (multiple tasks, constraints, auxiliary losses, regularization terms, etc.), you typically have two options:…
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Ph.D. thesis on Differentiable Ray Tracing for Radio Propagation Modeling [R]
Hi everyone, I recently finished my Ph.D. thesis on Differentiable Ray Tracing for Radio Propagation Modeling . Instead of just compiling my published papers, I tried to write it as an accessible, self-contained textbook for anyone interested in the intersection of radio…
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[D] Issue with arxiv - abstract not matching pdf/html [D]
Hi, I was reading the openRLHF paper: https://arxiv.org/pdf/2501.03262v4 , but when I click the abstract page: https://arxiv.org/abs/2501.03262v4 , it shows "REINFORCE++". Note that https://arxiv.org/html/2501.03262v4 still shows the correct openRLHF paper. I believe Arxiv is…
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Is Intrinsic Motivation a Viable PhD Topic in 2026? [D]
I started a PhD in CS about a year an a half ago. Generally speaking my topic is on intrinsic motivation (more commonly people refer to it as unsupervised RL). Intrinsic motivation (IM) is a niche field within AI. It seeks to develop reward signals which are not specific to any…
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Is machine learning research worth it for now? [D]
I am a scientist who just applied machine learning to my research (JEPA/Representation/Geometric branch) and it did wonder! Allowed me to see so many papers that I am still struggling to write up. From what I see, there are clearly a million possibilities not done yet, e.g.,…
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ECCV travel support program [D]
Has anyone gotten a response from the eccv travel support program listed on their website? https://eccv.ecva.net/Conferences/2026/DEI Edit: also have anyone applied for this program as an accepted author? I have an independent research paper accepted and am currently looking for…
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I built a open source neural network shape validator [P]
Built a visual editor that validates tensor shapes, counts params, estimates FLOPs/VRAM while you design. Catches incompatible residuals, mismatched Linear layers, all that before you waste GPU time. 63 ops. Proper shape inference. Exports PyTorch code that actually runs. URL-…
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If your GPU can run inference, it should be able to fine-tune too. [P]
I spent the last few months building a new sparse fine-tuning method for MoE models called **USAF**. The goal was simple: if your GPU can run inference on an MoE model, it should also be able to fine-tune it. On my AMD RX 6750 XT (12 GB), I can fine-tune Qwen3-30B-A3B by…
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I built my 'first' flow matching image generator, here's what I learned [P]
Today I put out my first flow matching image generation model! This is a toy example trained on a 2024 MPS Macbook Pro using a small sample of images—specifically, the Apple emoji library and their text labels. Because of this, it’s not a massive model (clocking in at ~4.7…
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